About Pylon AI
Pylon AI is an enterprise AI consulting firm founded by engineers and operators who have shipped AI at scale across finance, healthcare, retail, and SaaS. We embed with your team, work in your stack, and stay until the system is live, measurable, and trusted.
Our Mission
Every enterprise has a gap between what AI could do and what’s actually running in production. That gap isn’t a technology problem—it’s a delivery problem. Strategy decks don’t move the needle. POCs that never scale don’t justify the investment. Expensive model deployments without governance don’t survive procurement reviews.
Pylon AI exists to close that gap. We combine the strategic clarity of a top-tier advisory firm with the engineering depth to actually ship—and the operational discipline to make it stick.
12+
Industries served
50+
AI systems in production
25+
Technologies mastered
100%
Engagements reach production
Where we come from
Our team has shipped AI systems at the infrastructure layer — long before the current LLM wave. That foundation is what separates production delivery from perpetual piloting.
Silicon-Level Inference
Our engineers have optimized inference pipelines for leading semiconductor companies — from CUDA kernel profiling and quantization (INT4/INT8/FP8) to custom attention kernels and speculative decoding. We bring that depth to every enterprise AI architecture we design.
Foundation Model Experience
Our team includes engineers who contributed to pre-training, fine-tuning, and RLHF pipelines at top AI research labs and silicon companies. That experience shapes how we design RAG systems, evaluate model selection, and architect long-context applications.
Fortune 500 Enterprise Delivery
We have deployed agentic AI systems across Fortune 500 companies in financial services, healthcare, retail, and SaaS — navigating enterprise security reviews, compliance, and integration complexity that boutique shops typically cannot handle.
Team alumni & expertise from
Why Pylon AI
The AI consulting market is polarized: large firms that over-charge and under-deliver, and boutique shops that build proofs of concept but can’t scale them. Pylon AI is built differently.
Big Consulting Firms
Boutique AI Shops
Pylon AI
Our Philosophy
The measure of an engagement is working software, not the weight of the deliverable deck. We bias toward doing and iterating over planning and presenting.
We have no preferred vendor relationships that influence our recommendations. We select models and platforms based on your specific requirements, not our referral economics.
A model that scores 95% on your eval but costs 10x more than one that scores 91% may not be the right choice. We optimize for the ROI equation, not the benchmark leaderboard.
AI systems without safety guardrails, audit trails, and change management fail in regulated environments. We design governance in from day one, not bolted on before go-live.
We build with knowledge transfer in mind. The goal is a team that can operate, extend, and improve the system after we leave—not one that needs us forever.
Being embedded in the client environment—using their tools, attending their standups, working with their data—produces outcomes that remote advisory never can.
How We Engage
4–6 week rapid assessment. AI maturity, use-case prioritization, build-vs-buy recommendations, and a funded roadmap. Ideal for leadership alignment.
End-to-end build for a specific AI system—from design to production. Fixed scope, fixed timeline, defined success metrics. 8–20 weeks.
A senior AI executive embedded in your leadership team on a part-time basis. Strategy, vendor selection, team building, board communication, and program governance.
Continuous engineering support, optimization, and evolution of your AI systems. Monthly retainer with defined sprint capacity and a dedicated technical lead.
Forward deployment is borrowed from the best engineering-focused consulting firms. It means our engineers sit inside your team—using your Slack, attending your standups, accessing your data and systems directly. No coordination overhead. No information loss in translation.
This model lets us diagnose real problems instead of stated problems, make decisions with full context, and ship faster than any remote engagement can match. When we’re done, your team knows the system inside-out because they built it with us.
A Typical Forward Deployment
Week 1–2: Discover
Embed, access systems, identify real constraints vs. stated assumptions
Week 3–6: Prototype & Validate
Build fast, test on real data, show results to real users
Week 7–14: Production Build
Harden, scale, add governance, integrate with existing systems
Week 15+: Launch & Optimize
Go live, measure outcomes, iterate on performance and cost
Our Values
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We tell you when an approach won’t work before we build it. No scope creep masked as feature discovery.
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We track against defined business outcomes, not time-and-materials. Success means your system achieves its targets.
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The AI landscape changes weekly. We invest heavily in staying current and bring that knowledge directly into your engagement.
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Everything we build, you own. No proprietary frameworks that create dependency. Clean handoffs and documentation by default.
Whether you need a strategy session, an embedded engineering team, or a fractional CAIO to lead your AI program—we’re built for enterprises that are serious about AI.
